{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Alexander\Dropbox\How rto survey about turnout\Submission\JEPS\Replication file\FSRI experiments - Stata log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 3 Dec 2017, 15:12:58

{com}. do "C:\Users\ALEXAN~1\AppData\Local\Temp\STD00000000.tmp"
{txt}
{com}. /// This Dataverse file prensents a list of commands allowing users to replicate some of results to be published in 
> /// Morin-Chassé, Alexandre. In Press. "How to survey about electoral turnout? Additional evidence." Journal of Experimental Political Science
> /// The Dataverse replication file is divided in two parts. 
> ///   1) Replication for the Short Paragraph Experiment
> ///   2) Replication for the Face-Saving Response Items experiments.
> 
. /// The present syntax file is for the first item of this list: "2) Replication for the Face-Saving Response Items experiments."
> 
. /// The analyses below combine 5 new question wording experiments with those that were presented in Morin-Chassé,Alexandre, Damien Bol, Laura B. Stephenson and Simon Labbé St-Vincent 2017. 
> /// "How to Survey About Electoral Turnout? The Efficacy of the Face-Saving Response Items in 19 Different Contexts" Political Science Research and Methods 5(3): 575-584
> /// Data for the new experiments can be downloaded from http://dx.doi.org/10.7910/DVN/RR0NNQ where ELECID={c -(}19,24,25,26,27{c )-} ; data from Morin-Chassé et al. 2015 can 
> /// be found at http://dx.doi.org/10.7910/DVN/B0NY7Y . 
> 
. 
. ///To save space, the datafile included in the present Dataverse already combines the relevant datasets together. 
> ///Open the datafile named "FSRI experiment - Stata data file".
> ///Once the datafile file is open, run the following commands.
> 
. 
.  ///     db                 mm     db        `7MM          
>  ///    ;MM:                MM                 MM          
>  ///   ,V^MM.    `7Mb,od8 mmMMmm `7MM  ,p6"bo  MM  .gP"Ya  
>  ///  ,M  `MM      MM' "'   MM     MM 6M'  OO  MM ,M'   Yb 
>  ///  AbmmmqMA     MM       MM     MM 8M       MM 8M"""""" 
>  /// A'     VML    MM       MM     MM YM.    , MM YM.    , 
> ///.AMA.   .AMMA..JMML.     `Mbmo.JMML.YMbmd'.JMML.`Mbmmd' 
> 
. * The commands below reproduce each of the effect sizes presented in Figure 1.
. * Below these commands, readers can also find the syntax used to generate a raw version of Figure 1.
. * This raw version was then marginaly modified using an image editor in other to produce the Figure that appears in the paper.  
. 
. *.######..######..######..######...####...######...........####...######..######..######...####..
. *.##......##......##......##......##..##....##............##........##.......##...##......##.....
. *.####....####....####....####....##........##.............####.....##......##....####.....####..
. *.##......##......##......##......##..##....##................##....##.....##.....##..........##.
. *.######..##......##......######...####.....##.............####...######..######..######...####..
. 
. svyset [pw=POST_WEIGHT1]

      {txt}pweight:{col 16}{res}POST_WEIGHT1
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}<observations>
        FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. 
. ***Madrid regional***Madrid regional***Madrid regional  2015
. svy: logit voted  i.FSRIs if ELECID==24
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       770
{txt}{col 1}Number of PSUs{col 20}= {res}      770{txt}{col 49}Population size{col 67}={res} 773.443276
{txt}{col 49}Design df{col 67}= {res}       769
{txt}{col 49}F({res}   1{txt},{res}    769{txt}){col 67}= {res}     16.87
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-1.316644{col 26}{space 2} .3205445{col 37}{space 1}   -4.11{col 46}{space 3}0.000{col 54}{space 4} -1.94589{col 67}{space 3}-.6873982
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.163169{col 26}{space 2} .2505973{col 37}{space 1}   12.62{col 46}{space 3}0.000{col 54}{space 4} 2.671233{col 67}{space 3} 3.655105
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       770
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9594245{col 26}{space 2} .0097555{col 37}{space 1}   98.35{col 46}{space 3}0.000{col 54}{space 4} .9402738{col 67}{space 3} .9785751
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8637185{col 26}{space 2}  .023527{col 37}{space 1}   36.71{col 46}{space 3}0.000{col 54}{space 4} .8175338{col 67}{space 3} .9099032
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       770
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9594245{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8637185{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. gen obs= e(N) in 1
{txt}(24,568 missing values generated)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.095706{col 26}{space 2} .0254694{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.1457037{col 67}{space 3}-.0457082
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.095706{col 26}{space 2} .0254694{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.1614739{col 67}{space 3} -.029938
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. gen effectsize=100*(r(estimate)) in 1
{txt}(24,568 missing values generated)

{com}. gen p_value="<.001" in 1
{txt}(24,568 missing values generated)

{com}. gen Case_ID=1 in 1
{txt}(24,568 missing values generated)

{com}. gen Region="Madrid" in 1
{txt}(24,568 missing values generated)

{com}. gen Level="Regional" in 1
{txt}(24,568 missing values generated)

{com}. gen Year="2015" in 1
{txt}(24,568 missing values generated)

{com}. gen low_ci95= 100*((r(estimate))-(1.96*r(se))) in 1
{txt}(24,568 missing values generated)

{com}. gen high_ci95= 100*((r(estimate))+(1.96*r(se))) in 1
{txt}(24,568 missing values generated)

{com}. 
. svy: tab voted_simple if  ELECID==24
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       401
{txt}{col 1}Number of PSUs{col 20}= {res}      401{txt}{col 49}Population size{col 67}={res} 390.089723
{txt}{col 49}Design df{col 67}= {res}       400

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.0406
      {txt}Yes {c |}      {res}.9594
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2  if  ELECID==24
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       369
{txt}{col 1}Number of PSUs{col 20}= {res}      369{txt}{col 49}Population size{col 67}={res} 383.353553
{txt}{col 49}Design df{col 67}= {res}       368

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.0662
 {txt}I thougt {c |}      {res}.0222
 {txt}I usuall {c |}      {res}.0479
  {txt}I voted {c |}      {res}.8637
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. ***Ontario national***Ontario national***Ontario national 2015
. svy: logit voted  i.FSRIs if ELECID==25
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     1,431
{txt}{col 1}Number of PSUs{col 20}= {res}    1,431{txt}{col 49}Population size{col 67}={res} 1,419.4297
{txt}{col 49}Design df{col 67}= {res}     1,430
{txt}{col 49}F({res}   1{txt},{res}   1430{txt}){col 67}= {res}     12.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0005

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.8275015{col 26}{space 2} .2380035{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4}-1.294375{col 67}{space 3}-.3606282
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.606792{col 26}{space 2} .1994516{col 37}{space 1}   13.07{col 46}{space 3}0.000{col 54}{space 4} 2.215543{col 67}{space 3} 2.998041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,431
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9312974{col 26}{space 2} .0127614{col 37}{space 1}   72.98{col 46}{space 3}0.000{col 54}{space 4} .9062643{col 67}{space 3} .9563305
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8556092{col 26}{space 2} .0160437{col 37}{space 1}   53.33{col 46}{space 3}0.000{col 54}{space 4} .8241375{col 67}{space 3} .8870809
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,431
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9312974{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8556092{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 2
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0756882{col 26}{space 2} .0205001{col 37}{space 1}   -3.69{col 46}{space 3}0.000{col 54}{space 4}-.1159017{col 67}{space 3}-.0354747
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0756882{col 26}{space 2} .0205001{col 37}{space 1}   -3.69{col 46}{space 3}0.000{col 54}{space 4}-.1285635{col 67}{space 3}-.0228129
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 2
{txt}(1 real change made)

{com}. replace p_value="<.001" in 2
{txt}(1 real change made)

{com}. replace Case_ID=2 in 2
{txt}(1 real change made)

{com}. replace Region="Ontario" in 2
{txt}variable {bf}Region{sf} was {bf}{res}str6{sf}{txt} now {bf}{res}str7{sf}
{txt}(1 real change made)

{com}. replace Level="National" in 2
{txt}(1 real change made)

{com}. replace Year="2015" in 2
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 2
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 2
{txt}(1 real change made)

{com}. 
. svy: tab voted_simple if  ELECID==25
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       680
{txt}{col 1}Number of PSUs{col 20}= {res}      680{txt}{col 49}Population size{col 67}={res}  664.09221
{txt}{col 49}Design df{col 67}= {res}       679

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.0687
      {txt}Yes {c |}      {res}.9313
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2  if  ELECID==25
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       751
{txt}{col 1}Number of PSUs{col 20}= {res}      751{txt}{col 49}Population size{col 67}={res} 755.337519
{txt}{col 49}Design df{col 67}= {res}       750

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}       {res}.084
 {txt}I thougt {c |}       {res}.033
 {txt}I usuall {c |}      {res}.0274
  {txt}I voted {c |}      {res}.8556
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. ***BC national***BC national***BC national 2015
. svy: logit voted  i.FSRIs if ELECID==26
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     1,330
{txt}{col 1}Number of PSUs{col 20}= {res}    1,330{txt}{col 49}Population size{col 67}={res} 1,324.3331
{txt}{col 49}Design df{col 67}= {res}     1,329
{txt}{col 49}F({res}   1{txt},{res}   1329{txt}){col 67}= {res}      0.11
{txt}{col 49}Prob > F{col 67}= {res}    0.7395

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.0667359{col 26}{space 2} .2006747{col 37}{space 1}   -0.33{col 46}{space 3}0.740{col 54}{space 4}-.4604097{col 67}{space 3} .3269379
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   1.8442{col 26}{space 2} .1464559{col 37}{space 1}   12.59{col 46}{space 3}0.000{col 54}{space 4}  1.55689{col 67}{space 3}  2.13151
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,330
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8634447{col 26}{space 2} .0172683{col 37}{space 1}   50.00{col 46}{space 3}0.000{col 54}{space 4} .8295686{col 67}{space 3} .8973209
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8553835{col 26}{space 2} .0169707{col 37}{space 1}   50.40{col 46}{space 3}0.000{col 54}{space 4} .8220912{col 67}{space 3} .8886758
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,330
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8634447{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8553835{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 3
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0080612{col 26}{space 2} .0242116{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-.0555583{col 67}{space 3} .0394358
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0080612{col 26}{space 2} .0242116{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-.0705158{col 67}{space 3} .0543933
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 3
{txt}(1 real change made)

{com}. replace p_value="0.739" in 3
{txt}(1 real change made)

{com}. replace Case_ID=3 in 3
{txt}(1 real change made)

{com}. replace Region="British Columbia" in 3
{txt}variable {bf}Region{sf} was {bf}{res}str7{sf}{txt} now {bf}{res}str16{sf}
{txt}(1 real change made)

{com}. replace Level="National" in 3
{txt}(1 real change made)

{com}. replace Year="2015" in 3
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 3
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 3
{txt}(1 real change made)

{com}. 
. svy: tab voted_simple if  ELECID==26
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       660
{txt}{col 1}Number of PSUs{col 20}= {res}      660{txt}{col 49}Population size{col 67}={res} 657.742325
{txt}{col 49}Design df{col 67}= {res}       659

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.1366
      {txt}Yes {c |}      {res}.8634
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2  if  ELECID==26
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       670
{txt}{col 1}Number of PSUs{col 20}= {res}      670{txt}{col 49}Population size{col 67}={res} 666.590806
{txt}{col 49}Design df{col 67}= {res}       669

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.0898
 {txt}I thougt {c |}       {res}.038
 {txt}I usuall {c |}      {res}.0168
  {txt}I voted {c |}      {res}.8554
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. ***Quebec national***Quebec national***Quebec national 2015
. svy: logit voted  i.FSRIs if ELECID==27
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     1,307
{txt}{col 1}Number of PSUs{col 20}= {res}    1,307{txt}{col 49}Population size{col 67}={res} 1,291.0843
{txt}{col 49}Design df{col 67}= {res}     1,306
{txt}{col 49}F({res}   1{txt},{res}   1306{txt}){col 67}= {res}     14.44
{txt}{col 49}Prob > F{col 67}= {res}    0.0002

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.7774944{col 26}{space 2} .2045739{col 37}{space 1}   -3.80{col 46}{space 3}0.000{col 54}{space 4}-1.178824{col 67}{space 3} -.376165
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.454526{col 26}{space 2} .1621129{col 37}{space 1}   15.14{col 46}{space 3}0.000{col 54}{space 4} 2.136495{col 67}{space 3} 2.772556
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,307
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9208918{col 26}{space 2} .0118099{col 37}{space 1}   77.98{col 46}{space 3}0.000{col 54}{space 4} .8977232{col 67}{space 3} .9440603
{txt}{space 10}1  {c |}{col 14}{res}{space 2}  .842511{col 26}{space 2} .0165565{col 37}{space 1}   50.89{col 46}{space 3}0.000{col 54}{space 4} .8100308{col 67}{space 3} .8749913
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,307
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9208918{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2}  .842511{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 4
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0783808{col 26}{space 2}  .020337{col 37}{space 1}   -3.85{col 46}{space 3}0.000{col 54}{space 4}-.1182775{col 67}{space 3}-.0384841
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0783808{col 26}{space 2}  .020337{col 37}{space 1}   -3.85{col 46}{space 3}0.000{col 54}{space 4} -.130842{col 67}{space 3}-.0259195
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 4
{txt}(1 real change made)

{com}. replace p_value="<.001" in 4
{txt}(1 real change made)

{com}. replace Case_ID=4 in 4
{txt}(1 real change made)

{com}. replace Region="Quebec" in 4
{txt}(1 real change made)

{com}. replace Level="National" in 4
{txt}(1 real change made)

{com}. replace Year="2015" in 4
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 4
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 4
{txt}(1 real change made)

{com}. 
. svy: tab voted_simple if  ELECID==27
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       626
{txt}{col 1}Number of PSUs{col 20}= {res}      626{txt}{col 49}Population size{col 67}={res} 610.244969
{txt}{col 49}Design df{col 67}= {res}       625

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.0791
      {txt}Yes {c |}      {res}.9209
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2  if  ELECID==27
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       681
{txt}{col 1}Number of PSUs{col 20}= {res}      681{txt}{col 49}Population size{col 67}={res} 680.839354
{txt}{col 49}Design df{col 67}= {res}       680

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.0928
 {txt}I thougt {c |}      {res}.0295
 {txt}I usuall {c |}      {res}.0351
  {txt}I voted {c |}      {res}.8425
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. ***Bavaria Europe***Bavaria Europe***Bavaria Europe 2014
. svy: logit voted  i.FSRIs if ELECID==19
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     2,399
{txt}{col 1}Number of PSUs{col 20}= {res}    2,399{txt}{col 49}Population size{col 67}={res} 2,395.7419
{txt}{col 49}Design df{col 67}= {res}     2,398
{txt}{col 49}F({res}   1{txt},{res}   2398{txt}){col 67}= {res}      6.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0136

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.2497385{col 26}{space 2} .1011722{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4}-.4481326{col 67}{space 3}-.0513444
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.317705{col 26}{space 2}  .073261{col 37}{space 1}   17.99{col 46}{space 3}0.000{col 54}{space 4} 1.174043{col 67}{space 3} 1.461366
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,399
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7887996{col 26}{space 2} .0122049{col 37}{space 1}   64.63{col 46}{space 3}0.000{col 54}{space 4} .7648663{col 67}{space 3} .8127328
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7442099{col 26}{space 2} .0132826{col 37}{space 1}   56.03{col 46}{space 3}0.000{col 54}{space 4} .7181634{col 67}{space 3} .7702565
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,399
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7887996{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7442099{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 5
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0445896{col 26}{space 2} .0180385{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4}-.0799623{col 67}{space 3} -.009217
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0445896{col 26}{space 2} .0180385{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4}-.0910907{col 67}{space 3} .0019115
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace Case_ID=5 in 5
{txt}(1 real change made)

{com}. replace effectsize=100*(r(estimate)) in 5
{txt}(1 real change made)

{com}. replace p_value=".014" in 5
{txt}(1 real change made)

{com}. replace Region="Bavaria" in 5
{txt}(1 real change made)

{com}. replace Level="Europe" in 5
{txt}(1 real change made)

{com}. replace Year="2014" in 5
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 5
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 5
{txt}(1 real change made)

{com}.         
. svy: tab voted_simple if  ELECID==19
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     1,225
{txt}{col 1}Number of PSUs{col 20}= {res}    1,225{txt}{col 49}Population size{col 67}={res} 1,210.9707
{txt}{col 49}Design df{col 67}= {res}     1,224

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.2112
      {txt}Yes {c |}      {res}.7888
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2  if  ELECID==19
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     1,174
{txt}{col 1}Number of PSUs{col 20}= {res}    1,174{txt}{col 49}Population size{col 67}={res} 1,184.7712
{txt}{col 49}Design df{col 67}= {res}     1,173

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.1013
 {txt}I thougt {c |}      {res}.0402
 {txt}I usuall {c |}      {res}.1143
  {txt}I voted {c |}      {res}.7442
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}.         
. ***Provence europe***Provence europe***Provence europe 2014
. svy: logit voted  i.FSRIs if ELECID==16
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       806
{txt}{col 1}Number of PSUs{col 20}= {res}      806{txt}{col 49}Population size{col 67}={res} 797.565034
{txt}{col 49}Design df{col 67}= {res}       805
{txt}{col 49}F({res}   1{txt},{res}    805{txt}){col 67}= {res}     14.32
{txt}{col 49}Prob > F{col 67}= {res}    0.0002

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.8490722{col 26}{space 2} .2243837{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-1.289518{col 67}{space 3} -.408626
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.730325{col 26}{space 2} .1700536{col 37}{space 1}   10.18{col 46}{space 3}0.000{col 54}{space 4} 1.396524{col 67}{space 3} 2.064126
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       806
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .849454{col 26}{space 2} .0217468{col 37}{space 1}   39.06{col 46}{space 3}0.000{col 54}{space 4} .8067669{col 67}{space 3} .8921411
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7070818{col 26}{space 2} .0303197{col 37}{space 1}   23.32{col 46}{space 3}0.000{col 54}{space 4} .6475667{col 67}{space 3} .7665968
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       806
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .849454{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7070818{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 6
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1423722{col 26}{space 2} .0373123{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-.2156131{col 67}{space 3}-.0691313
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1423722{col 26}{space 2} .0373123{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-.2387108{col 67}{space 3}-.0460337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 6
{txt}(1 real change made)

{com}. replace p_value="<.001" in 6
{txt}(1 real change made)

{com}. replace Case_ID=6 in 6
{txt}(1 real change made)

{com}. replace Region="Provence" in 6
{txt}(1 real change made)

{com}. replace Level="Europe" in 6
{txt}(1 real change made)

{com}. replace Year="2014" in 6
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 6
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 6
{txt}(1 real change made)

{com}. 
. ***IDF europe***IDF europe***IDF europe 2014
. svy: logit voted  i.FSRIs if ELECID==17
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       834
{txt}{col 1}Number of PSUs{col 20}= {res}      834{txt}{col 49}Population size{col 67}={res} 823.855212
{txt}{col 49}Design df{col 67}= {res}       833
{txt}{col 49}F({res}   1{txt},{res}    833{txt}){col 67}= {res}     16.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0001

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.9172191{col 26}{space 2} .2286938{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-1.366103{col 67}{space 3}-.4683352
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.451353{col 26}{space 2}  .182722{col 37}{space 1}    7.94{col 46}{space 3}0.000{col 54}{space 4} 1.092703{col 67}{space 3} 1.810002
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       834
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8102065{col 26}{space 2} .0280975{col 37}{space 1}   28.84{col 46}{space 3}0.000{col 54}{space 4} .7550563{col 67}{space 3} .8653568
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .6304467{col 26}{space 2} .0320414{col 37}{space 1}   19.68{col 46}{space 3}0.000{col 54}{space 4} .5675552{col 67}{space 3} .6933381
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       834
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8102065{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .6304467{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 7
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1797598{col 26}{space 2}  .042616{col 37}{space 1}   -4.22{col 46}{space 3}0.000{col 54}{space 4}-.2634072{col 67}{space 3}-.0961125
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1797598{col 26}{space 2}  .042616{col 37}{space 1}   -4.22{col 46}{space 3}0.000{col 54}{space 4}-.2897835{col 67}{space 3}-.0697362
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 7
{txt}(1 real change made)

{com}. replace p_value="<.001" in 7
{txt}(1 real change made)

{com}. replace Case_ID=7 in 7
{txt}(1 real change made)

{com}. replace Region="Îles-de-France" in 7
{txt}(1 real change made)

{com}. replace Level="Europe" in 7
{txt}(1 real change made)

{com}. replace Year="2014" in 7
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 7
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 7
{txt}(1 real change made)

{com}. 
. ***Catalonia europe***Catalonia europe***Catalonia europe 2014
. svy: logit voted  i.FSRIs if ELECID==20
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       811
{txt}{col 1}Number of PSUs{col 20}= {res}      811{txt}{col 49}Population size{col 67}={res} 814.646832
{txt}{col 49}Design df{col 67}= {res}       810
{txt}{col 49}F({res}   1{txt},{res}    810{txt}){col 67}= {res}      8.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0037

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.7212002{col 26}{space 2} .2479686{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-1.207937{col 67}{space 3}-.2344633
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.645894{col 26}{space 2} .2001105{col 37}{space 1}    8.22{col 46}{space 3}0.000{col 54}{space 4} 1.253098{col 67}{space 3}  2.03869
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       811
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8383353{col 26}{space 2} .0271208{col 37}{space 1}   30.91{col 46}{space 3}0.000{col 54}{space 4}    .7851{col 67}{space 3} .8915707
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7159975{col 26}{space 2} .0297775{col 37}{space 1}   24.04{col 46}{space 3}0.000{col 54}{space 4} .6575473{col 67}{space 3} .7744478
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       811
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8383353{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7159975{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 8
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1223378{col 26}{space 2}  .040277{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-.2013975{col 67}{space 3}-.0432781
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1223378{col 26}{space 2}  .040277{col 37}{space 1}   -3.04{col 46}{space 3}0.002{col 54}{space 4}-.2263296{col 67}{space 3} -.018346
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 8
{txt}(1 real change made)

{com}. replace p_value=".002" in 8
{txt}(1 real change made)

{com}. replace Case_ID=8 in 8
{txt}(1 real change made)

{com}. replace Region="Catalonia" in 8
{txt}(1 real change made)

{com}. replace Level="Europe" in 8
{txt}(1 real change made)

{com}. replace Year="2014" in 8
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 8
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 8
{txt}(1 real change made)

{com}. 
. ***Madrid europe***Madrid europe***Madrid europe 2014
. svy: logit voted  i.FSRIs if ELECID==21
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       805
{txt}{col 1}Number of PSUs{col 20}= {res}      805{txt}{col 49}Population size{col 67}={res} 800.192867
{txt}{col 49}Design df{col 67}= {res}       804
{txt}{col 49}F({res}   1{txt},{res}    804{txt}){col 67}= {res}      9.59
{txt}{col 49}Prob > F{col 67}= {res}    0.0020

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.7727191{col 26}{space 2} .2495421{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4} -1.26255{col 67}{space 3}-.2828881
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.592633{col 26}{space 2} .2136944{col 37}{space 1}    7.45{col 46}{space 3}0.000{col 54}{space 4} 1.173168{col 67}{space 3} 2.012098
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       805
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8309863{col 26}{space 2}  .030013{col 37}{space 1}   27.69{col 46}{space 3}0.000{col 54}{space 4} .7720732{col 67}{space 3} .8898993
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .6942181{col 26}{space 2} .0273552{col 37}{space 1}   25.38{col 46}{space 3}0.000{col 54}{space 4} .6405221{col 67}{space 3} .7479141
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       805
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8309863{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .6942181{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 9
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1367681{col 26}{space 2} .0406089{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.2164802{col 67}{space 3}-.0570561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1367681{col 26}{space 2} .0406089{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.2416187{col 67}{space 3}-.0319176
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 9
{txt}(1 real change made)

{com}. replace p_value=".001" in 9
{txt}(1 real change made)

{com}. replace Case_ID=9 in 9
{txt}(1 real change made)

{com}. replace Region="Madrid" in 9
{txt}(1 real change made)

{com}. replace Level="Europe" in 9
{txt}(1 real change made)

{com}. replace Year="2014" in 9
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 9
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 9
{txt}(1 real change made)

{com}. 
. ***Lower Saxony europe***Lower Saxony europe***Lower Saxony europe 2014
. svy: logit voted  i.FSRIs if ELECID==18
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       791
{txt}{col 1}Number of PSUs{col 20}= {res}      791{txt}{col 49}Population size{col 67}={res} 793.431164
{txt}{col 49}Design df{col 67}= {res}       790
{txt}{col 49}F({res}   1{txt},{res}    790{txt}){col 67}= {res}      1.52
{txt}{col 49}Prob > F{col 67}= {res}    0.2180

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2} -.338737{col 26}{space 2} .2747822{col 37}{space 1}   -1.23{col 46}{space 3}0.218{col 54}{space 4}-.8781266{col 67}{space 3} .2006525
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.399559{col 26}{space 2} .2140984{col 37}{space 1}    6.54{col 46}{space 3}0.000{col 54}{space 4} .9792902{col 67}{space 3} 1.819828
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       791
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8021139{col 26}{space 2} .0339832{col 37}{space 1}   23.60{col 46}{space 3}0.000{col 54}{space 4} .7354058{col 67}{space 3} .8688221
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7428477{col 26}{space 2} .0329024{col 37}{space 1}   22.58{col 46}{space 3}0.000{col 54}{space 4} .6782611{col 67}{space 3} .8074342
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       791
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8021139{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7428477{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 10
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0592663{col 26}{space 2} .0473015{col 37}{space 1}   -1.25{col 46}{space 3}0.211{col 54}{space 4}-.1521177{col 67}{space 3} .0335851
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0592663{col 26}{space 2} .0473015{col 37}{space 1}   -1.25{col 46}{space 3}0.211{col 54}{space 4}-.1814019{col 67}{space 3} .0628693
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 10
{txt}(1 real change made)

{com}. replace p_value=".211" in 10
{txt}(1 real change made)

{com}. replace Case_ID=10 in 10
{txt}(1 real change made)

{com}. replace Region="Lower Saxony" in 10
{txt}(1 real change made)

{com}. replace Level="Europe" in 10
{txt}(1 real change made)

{com}. replace Year="2014" in 10
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 10
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 10
{txt}(1 real change made)

{com}. 
. ***Marseille municipal***Marseille municipal***Marseille municipal 2014
. svy: logit voted  i.FSRIs if ELECID==23
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       517
{txt}{col 1}Number of PSUs{col 20}= {res}      517{txt}{col 49}Population size{col 67}={res} 522.876902
{txt}{col 49}Design df{col 67}= {res}       516
{txt}{col 49}F({res}   1{txt},{res}    516{txt}){col 67}= {res}      1.46
{txt}{col 49}Prob > F{col 67}= {res}    0.2281

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2} -.334753{col 26}{space 2} .2774051{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-.8797352{col 67}{space 3} .2102292
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.353173{col 26}{space 2}  .189233{col 37}{space 1}    7.15{col 46}{space 3}0.000{col 54}{space 4} .9814111{col 67}{space 3} 1.724935
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       517
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7946479{col 26}{space 2} .0308795{col 37}{space 1}   25.73{col 46}{space 3}0.000{col 54}{space 4} .7339828{col 67}{space 3} .8553129
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7346647{col 26}{space 2} .0395403{col 37}{space 1}   18.58{col 46}{space 3}0.000{col 54}{space 4} .6569849{col 67}{space 3} .8123444
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       517
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7946479{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7346647{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 11
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0599832{col 26}{space 2} .0501695{col 37}{space 1}   -1.20{col 46}{space 3}0.232{col 54}{space 4}-.1585448{col 67}{space 3} .0385785
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0599832{col 26}{space 2} .0501695{col 37}{space 1}   -1.20{col 46}{space 3}0.232{col 54}{space 4} -.189691{col 67}{space 3} .0697246
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 11
{txt}(1 real change made)

{com}. replace Case_ID=11 in 11
{txt}(1 real change made)

{com}. replace p_value=".232" in 11
{txt}(1 real change made)

{com}. replace Region="Marseille" in 11
{txt}(1 real change made)

{com}. replace Level="Municipal" in 11
{txt}variable {bf}Level{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str9{sf}
{txt}(1 real change made)

{com}. replace Year="2014" in 11
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 11
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 11
{txt}(1 real change made)

{com}. 
. ***Paris municipal***Paris municipal***Paris municipal 2014
. svy: logit voted  i.FSRIs if ELECID==22
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       856
{txt}{col 1}Number of PSUs{col 20}= {res}      856{txt}{col 49}Population size{col 67}={res} 840.791962
{txt}{col 49}Design df{col 67}= {res}       855
{txt}{col 49}F({res}   1{txt},{res}    855{txt}){col 67}= {res}      5.31
{txt}{col 49}Prob > F{col 67}= {res}    0.0214

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.4793512{col 26}{space 2} .2080007{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4} -.887603{col 67}{space 3}-.0710994
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.660233{col 26}{space 2} .1591942{col 37}{space 1}   10.43{col 46}{space 3}0.000{col 54}{space 4} 1.347776{col 67}{space 3} 1.972691
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       856
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8402693{col 26}{space 2} .0213665{col 37}{space 1}   39.33{col 46}{space 3}0.000{col 54}{space 4} .7983323{col 67}{space 3} .8822063
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7651064{col 26}{space 2} .0240591{col 37}{space 1}   31.80{col 46}{space 3}0.000{col 54}{space 4} .7178845{col 67}{space 3} .8123283
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       856
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8402693{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7651064{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 12
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0751629{col 26}{space 2} .0321772{col 37}{space 1}   -2.34{col 46}{space 3}0.020{col 54}{space 4}-.1383185{col 67}{space 3}-.0120074
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0751629{col 26}{space 2} .0321772{col 37}{space 1}   -2.34{col 46}{space 3}0.020{col 54}{space 4}-.1582313{col 67}{space 3} .0079054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 12
{txt}(1 real change made)

{com}. replace p_value=".020" in 12
{txt}(1 real change made)

{com}. replace Case_ID=12 in 12
{txt}(1 real change made)

{com}. replace Region="Paris" in 12
{txt}(1 real change made)

{com}. replace Level="Municipal" in 12
{txt}(1 real change made)

{com}. replace Year="2014" in 12
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 12
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 12
{txt}(1 real change made)

{com}. 
. *** Lower Saxony regional*** Lower Saxony regional*** 2013
. svy: logit voted  i.FSRIs if ELECID==11
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       818
{txt}{col 1}Number of PSUs{col 20}= {res}      818{txt}{col 49}Population size{col 67}={res}  818.99692
{txt}{col 49}Design df{col 67}= {res}       817
{txt}{col 49}F({res}   1{txt},{res}    817{txt}){col 67}= {res}      2.00
{txt}{col 49}Prob > F{col 67}= {res}    0.1575

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.4066969{col 26}{space 2} .2874788{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-.9709809{col 67}{space 3}  .157587
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.806936{col 26}{space 2} .2204383{col 37}{space 1}    8.20{col 46}{space 3}0.000{col 54}{space 4} 1.374244{col 67}{space 3} 2.239629
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       818
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8589912{col 26}{space 2} .0267007{col 37}{space 1}   32.17{col 46}{space 3}0.000{col 54}{space 4} .8065812{col 67}{space 3} .9114012
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8022219{col 26}{space 2} .0292777{col 37}{space 1}   27.40{col 46}{space 3}0.000{col 54}{space 4} .7447534{col 67}{space 3} .8596904
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       818
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8589912{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8022219{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 13
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0567693{col 26}{space 2} .0396246{col 37}{space 1}   -1.43{col 46}{space 3}0.152{col 54}{space 4}-.1345474{col 67}{space 3} .0210088
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0567693{col 26}{space 2} .0396246{col 37}{space 1}   -1.43{col 46}{space 3}0.152{col 54}{space 4}-.1590746{col 67}{space 3}  .045536
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 13
{txt}(1 real change made)

{com}. replace p_value=".152" in 13
{txt}(1 real change made)

{com}. replace Case_ID=13 in 13
{txt}(1 real change made)

{com}. replace Region="Lower Saxony" in 13
{txt}(1 real change made)

{com}. replace Level="Regional" in 13
{txt}(1 real change made)

{com}. replace Year="2013" in 13
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 13
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 13
{txt}(1 real change made)

{com}.                         
. *** Catalonia regional*** Catalonia regional*** Catalonia regional 2012
. svy: logit voted  i.FSRIs if ELECID==8
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       800
{txt}{col 1}Number of PSUs{col 20}= {res}      800{txt}{col 49}Population size{col 67}={res} 799.841819
{txt}{col 49}Design df{col 67}= {res}       799
{txt}{col 49}F({res}   1{txt},{res}    799{txt}){col 67}= {res}     10.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0015

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.8288836{col 26}{space 2} .2598646{col 37}{space 1}   -3.19{col 46}{space 3}0.001{col 54}{space 4}-1.338982{col 67}{space 3}-.3187856
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.752254{col 26}{space 2} .2115805{col 37}{space 1}   13.01{col 46}{space 3}0.000{col 54}{space 4} 2.336935{col 67}{space 3} 3.167573
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       800
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9400405{col 26}{space 2} .0119256{col 37}{space 1}   78.83{col 46}{space 3}0.000{col 54}{space 4} .9166313{col 67}{space 3} .9634497
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8725138{col 26}{space 2} .0167824{col 37}{space 1}   51.99{col 46}{space 3}0.000{col 54}{space 4} .8395711{col 67}{space 3} .9054566
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       800
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9400405{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8725138{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 14
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0675267{col 26}{space 2}  .020588{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4}-.1079397{col 67}{space 3}-.0271137
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0675267{col 26}{space 2}  .020588{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4} -.120685{col 67}{space 3}-.0143684
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 14
{txt}(1 real change made)

{com}. replace p_value=".001" in 14
{txt}(1 real change made)

{com}. replace Case_ID=14 in 14
{txt}(1 real change made)

{com}. replace Region="Catalonia" in 14
{txt}(1 real change made)

{com}. replace Level="Regional" in 14
{txt}(1 real change made)

{com}. replace Year="2012" in 14
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 14
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 14
{txt}(1 real change made)

{com}. 
. *** Quebec regional*** Quebec regional*** Quebec regional 2012
. svy: logit voted  i.FSRIs if ELECID==15
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       724
{txt}{col 1}Number of PSUs{col 20}= {res}      724{txt}{col 49}Population size{col 67}={res} 716.837599
{txt}{col 49}Design df{col 67}= {res}       723
{txt}{col 49}F({res}   1{txt},{res}    723{txt}){col 67}= {res}     14.36
{txt}{col 49}Prob > F{col 67}= {res}    0.0002

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-1.318637{col 26}{space 2} .3479591{col 37}{space 1}   -3.79{col 46}{space 3}0.000{col 54}{space 4}-2.001768{col 67}{space 3}-.6355059
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.112894{col 26}{space 2} .2916431{col 37}{space 1}   10.67{col 46}{space 3}0.000{col 54}{space 4} 2.540325{col 67}{space 3} 3.685462
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       724
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9574215{col 26}{space 2}  .011889{col 37}{space 1}   80.53{col 46}{space 3}0.000{col 54}{space 4} .9340804{col 67}{space 3} .9807626
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8574484{col 26}{space 2}  .023198{col 37}{space 1}   36.96{col 46}{space 3}0.000{col 54}{space 4} .8119049{col 67}{space 3} .9029919
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       724
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9574215{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8574484{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 15
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0999731{col 26}{space 2} .0260672{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4}-.1511494{col 67}{space 3}-.0487967
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0999731{col 26}{space 2} .0260672{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4}-.1672953{col 67}{space 3}-.0326509
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 15
{txt}(1 real change made)

{com}. replace p_value="<.001" in 15
{txt}(1 real change made)

{com}. replace Case_ID=15 in 15
{txt}(1 real change made)

{com}. replace Region="Quebec" in 15
{txt}(1 real change made)

{com}. replace Level="Regional" in 15
{txt}(1 real change made)

{com}. replace Year="2012" in 15
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 15
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 15
{txt}(1 real change made)

{com}. 
. *** Provence national*** Provence national*** Provence national 2012
. svy: logit voted  i.FSRIs if ELECID==6
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       719
{txt}{col 1}Number of PSUs{col 20}= {res}      719{txt}{col 49}Population size{col 67}={res} 705.086018
{txt}{col 49}Design df{col 67}= {res}       718
{txt}{col 49}F({res}   1{txt},{res}    718{txt}){col 67}= {res}      0.05
{txt}{col 49}Prob > F{col 67}= {res}    0.8203

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.0600694{col 26}{space 2} .2642766{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.5789167{col 67}{space 3} .4587779
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.368735{col 26}{space 2} .1971417{col 37}{space 1}    6.94{col 46}{space 3}0.000{col 54}{space 4} .9816921{col 67}{space 3} 1.755778
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       719
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7971757{col 26}{space 2} .0318752{col 37}{space 1}   25.01{col 46}{space 3}0.000{col 54}{space 4}  .734596{col 67}{space 3} .8597554
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7872898{col 26}{space 2} .0294744{col 37}{space 1}   26.71{col 46}{space 3}0.000{col 54}{space 4} .7294235{col 67}{space 3} .8451561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       719
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7971757{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7872898{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 16
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0098859{col 26}{space 2} .0434139{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.0951193{col 67}{space 3} .0753474
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0098859{col 26}{space 2} .0434139{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.1220107{col 67}{space 3} .1022389
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 16
{txt}(1 real change made)

{com}. replace p_value=".820" in 16
{txt}(1 real change made)

{com}. replace Case_ID=16 in 16
{txt}(1 real change made)

{com}. replace Region="Provence" in 16
{txt}(1 real change made)

{com}. replace Level="National" in 16
{txt}(1 real change made)

{com}. replace Year="2012" in 16
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 16
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 16
{txt}(1 real change made)

{com}. 
. ***IDF national***IDF national***IDF national 2012
. svy: logit voted  i.FSRIs if ELECID==5
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       748
{txt}{col 1}Number of PSUs{col 20}= {res}      748{txt}{col 49}Population size{col 67}={res} 746.902771
{txt}{col 49}Design df{col 67}= {res}       747
{txt}{col 49}F({res}   1{txt},{res}    747{txt}){col 67}= {res}      0.03
{txt}{col 49}Prob > F{col 67}= {res}    0.8728

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.0373758{col 26}{space 2} .2333303{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4} -.495437{col 67}{space 3} .4206854
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.120173{col 26}{space 2} .1775202{col 37}{space 1}    6.31{col 46}{space 3}0.000{col 54}{space 4} .7716749{col 67}{space 3} 1.468671
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       748
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7540208{col 26}{space 2} .0329253{col 37}{space 1}   22.90{col 46}{space 3}0.000{col 54}{space 4} .6893837{col 67}{space 3} .8186579
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7470229{col 26}{space 2} .0286163{col 37}{space 1}   26.10{col 46}{space 3}0.000{col 54}{space 4}  .690845{col 67}{space 3} .8032009
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       748
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7540208{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7470229{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 17
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0069978{col 26}{space 2}  .043623{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4}-.0926361{col 67}{space 3} .0786404
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0069978{col 26}{space 2}  .043623{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4}-.1196511{col 67}{space 3} .1056554
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 17
{txt}(1 real change made)

{com}. replace p_value=".873" in 17
{txt}(1 real change made)

{com}. replace Case_ID=17 in 17
{txt}(1 real change made)

{com}. replace Region="Île-de-France" in 17
{txt}(1 real change made)

{com}. replace Level="National" in 17
{txt}(1 real change made)

{com}. replace Year="2012" in 17
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 17
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 17
{txt}(1 real change made)

{com}. 
. *** Ontario regional*** Ontario regional*** Ontario regional 2011
. svy: logit voted  i.FSRIs if ELECID==14
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       884
{txt}{col 1}Number of PSUs{col 20}= {res}      884{txt}{col 49}Population size{col 67}={res} 877.238958
{txt}{col 49}Design df{col 67}= {res}       883
{txt}{col 49}F({res}   1{txt},{res}    883{txt}){col 67}= {res}      0.00
{txt}{col 49}Prob > F{col 67}= {res}    0.9505

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.0137981{col 26}{space 2} .2220365{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.4495791{col 67}{space 3} .4219829
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.577269{col 26}{space 2} .1608481{col 37}{space 1}    9.81{col 46}{space 3}0.000{col 54}{space 4}  1.26158{col 67}{space 3} 1.892958
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       884
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8288174{col 26}{space 2}  .022821{col 37}{space 1}   36.32{col 46}{space 3}0.000{col 54}{space 4} .7840277{col 67}{space 3} .8736071
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8268508{col 26}{space 2} .0219137{col 37}{space 1}   37.73{col 46}{space 3}0.000{col 54}{space 4} .7838418{col 67}{space 3} .8698599
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       884
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8288174{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8268508{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 18
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0019666{col 26}{space 2} .0316387{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.0640624{col 67}{space 3} .0601293
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0019666{col 26}{space 2} .0316387{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4} -.083639{col 67}{space 3} .0797059
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 18
{txt}(1 real change made)

{com}. replace p_value=".950" in 18
{txt}(1 real change made)

{com}. replace Case_ID=18 in 18
{txt}(1 real change made)

{com}. replace Region="Ontario" in 18
{txt}(1 real change made)

{com}. replace Level="Regional" in 18
{txt}(1 real change made)

{com}. replace Year="2011" in 18
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 18
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 18
{txt}(1 real change made)

{com}. 
. *** Catalonia national*** Catalonia national*** Catalonia national 2011
. svy: logit voted  i.FSRIs if ELECID==7
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       818
{txt}{col 1}Number of PSUs{col 20}= {res}      818{txt}{col 49}Population size{col 67}={res} 816.296669
{txt}{col 49}Design df{col 67}= {res}       817
{txt}{col 49}F({res}   1{txt},{res}    817{txt}){col 67}= {res}      1.12
{txt}{col 49}Prob > F{col 67}= {res}    0.2911

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.2650094{col 26}{space 2} .2508845{col 37}{space 1}   -1.06{col 46}{space 3}0.291{col 54}{space 4}-.7574636{col 67}{space 3} .2274448
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  2.31989{col 26}{space 2} .1958746{col 37}{space 1}   11.84{col 46}{space 3}0.000{col 54}{space 4} 1.935414{col 67}{space 3} 2.704367
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       818
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .910511{col 26}{space 2}   .01596{col 37}{space 1}   57.05{col 46}{space 3}0.000{col 54}{space 4} .8791836{col 67}{space 3} .9418385
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8864399{col 26}{space 2} .0157809{col 37}{space 1}   56.17{col 46}{space 3}0.000{col 54}{space 4}  .855464{col 67}{space 3} .9174158
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       818
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .910511{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8864399{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 19
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0240711{col 26}{space 2} .0224446{col 37}{space 1}   -1.07{col 46}{space 3}0.284{col 54}{space 4} -.068127{col 67}{space 3} .0199847
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0240711{col 26}{space 2} .0224446{col 37}{space 1}   -1.07{col 46}{space 3}0.284{col 54}{space 4}-.0820199{col 67}{space 3} .0338776
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 19
{txt}(1 real change made)

{com}. replace p_value=".284" in 19
{txt}(1 real change made)

{com}. replace Case_ID=19 in 19
{txt}(1 real change made)

{com}. replace Region="Catalonia" in 19
{txt}(1 real change made)

{com}. replace Level="National" in 19
{txt}(1 real change made)

{com}. replace Year="2011" in 19
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 19
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 19
{txt}(1 real change made)

{com}. 
. *** Madrid national*** Madrid national*** Madrid national 2011
. svy: logit voted  i.FSRIs if ELECID==9
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       823
{txt}{col 1}Number of PSUs{col 20}= {res}      823{txt}{col 49}Population size{col 67}={res} 827.109754
{txt}{col 49}Design df{col 67}= {res}       822
{txt}{col 49}F({res}   1{txt},{res}    822{txt}){col 67}= {res}      9.07
{txt}{col 49}Prob > F{col 67}= {res}    0.0027

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-1.072824{col 26}{space 2} .3561321{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4} -1.77186{col 67}{space 3} -.373789
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.334516{col 26}{space 2} .2872866{col 37}{space 1}   11.61{col 46}{space 3}0.000{col 54}{space 4} 2.770614{col 67}{space 3} 3.898418
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       823
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9655941{col 26}{space 2} .0095443{col 37}{space 1}  101.17{col 46}{space 3}0.000{col 54}{space 4} .9468601{col 67}{space 3} .9843281
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .9056543{col 26}{space 2} .0179833{col 37}{space 1}   50.36{col 46}{space 3}0.000{col 54}{space 4} .8703557{col 67}{space 3} .9409529
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       823
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .9655941{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .9056543{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 20
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0599398{col 26}{space 2} .0203591{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.0999018{col 67}{space 3}-.0199779
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0599398{col 26}{space 2} .0203591{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.1125034{col 67}{space 3}-.0073763
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 20
{txt}(1 real change made)

{com}. replace p_value=".003" in 20
{txt}(1 real change made)

{com}. replace Case_ID=20 in 20
{txt}(1 real change made)

{com}. replace Region="Madrid" in 20
{txt}(1 real change made)

{com}. replace Level="National" in 20
{txt}(1 real change made)

{com}. replace Year="2011" in 20
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 20
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 20
{txt}(1 real change made)

{com}. 
. ***lucerne national***lucerne national***lucerne national 2011
. svy: logit voted  i.FSRIs if ELECID==1
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       844
{txt}{col 1}Number of PSUs{col 20}= {res}      844{txt}{col 49}Population size{col 67}={res}   838.7555
{txt}{col 49}Design df{col 67}= {res}       843
{txt}{col 49}F({res}   1{txt},{res}    843{txt}){col 67}= {res}      8.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0036

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.5910184{col 26}{space 2} .2021703{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-.9878348{col 67}{space 3}-.1942021
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.749043{col 26}{space 2}  .159517{col 37}{space 1}   10.96{col 46}{space 3}0.000{col 54}{space 4} 1.435946{col 67}{space 3}  2.06214
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       844
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .851832{col 26}{space 2} .0201333{col 37}{space 1}   42.31{col 46}{space 3}0.000{col 54}{space 4} .8123147{col 67}{space 3} .8913493
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7609736{col 26}{space 2} .0225922{col 37}{space 1}   33.68{col 46}{space 3}0.000{col 54}{space 4}   .71663{col 67}{space 3} .8053172
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       844
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .851832{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7609736{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 21
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0908585{col 26}{space 2} .0302615{col 37}{space 1}   -3.00{col 46}{space 3}0.003{col 54}{space 4}-.1502552{col 67}{space 3}-.0314618
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0908585{col 26}{space 2} .0302615{col 37}{space 1}   -3.00{col 46}{space 3}0.003{col 54}{space 4}-.1689838{col 67}{space 3}-.0127332
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 21
{txt}(1 real change made)

{com}. replace p_value=".003" in 21
{txt}(1 real change made)

{com}. replace Case_ID=21 in 21
{txt}(1 real change made)

{com}. replace Region="Lucerne" in 21
{txt}(1 real change made)

{com}. replace Level="National" in 21
{txt}(1 real change made)

{com}. replace Year="2011" in 21
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 21
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 21
{txt}(1 real change made)

{com}. 
. 
. ***Lucerne regional***Lucerne regional***Lucerne regional 2011
. svy: logit voted  i.FSRIs if ELECID==2
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       904
{txt}{col 1}Number of PSUs{col 20}= {res}      904{txt}{col 49}Population size{col 67}={res} 905.059636
{txt}{col 49}Design df{col 67}= {res}       903
{txt}{col 49}F({res}   1{txt},{res}    903{txt}){col 67}= {res}     15.71
{txt}{col 49}Prob > F{col 67}= {res}    0.0001

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.6904769{col 26}{space 2} .1741948{col 37}{space 1}   -3.96{col 46}{space 3}0.000{col 54}{space 4}-1.032351{col 67}{space 3}-.3486032
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.504803{col 26}{space 2} .1294514{col 37}{space 1}   11.62{col 46}{space 3}0.000{col 54}{space 4} 1.250743{col 67}{space 3} 1.758864
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       904
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8182898{col 26}{space 2} .0192483{col 37}{space 1}   42.51{col 46}{space 3}0.000{col 54}{space 4} .7805131{col 67}{space 3} .8560664
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .6930306{col 26}{space 2} .0247968{col 37}{space 1}   27.95{col 46}{space 3}0.000{col 54}{space 4} .6443645{col 67}{space 3} .7416967
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       904
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8182898{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .6930306{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 22
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1252591{col 26}{space 2} .0313908{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-.1868665{col 67}{space 3}-.0636518
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1252591{col 26}{space 2} .0313908{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-.2062877{col 67}{space 3}-.0442306
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 22
{txt}(1 real change made)

{com}. replace p_value="<.001" in 22
{txt}(1 real change made)

{com}. replace Case_ID=22 in 22
{txt}(1 real change made)

{com}. replace Region="Lucerne" in 22
{txt}(1 real change made)

{com}. replace Level="Regional" in 22
{txt}(1 real change made)

{com}. replace Year="2011" in 22
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 22
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 22
{txt}(1 real change made)

{com}. 
. ***Zurich national***Zurich national***Zurich national  2011
. svy: logit voted  i.FSRIs if ELECID==3
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       840
{txt}{col 1}Number of PSUs{col 20}= {res}      840{txt}{col 49}Population size{col 67}={res} 835.671016
{txt}{col 49}Design df{col 67}= {res}       839
{txt}{col 49}F({res}   1{txt},{res}    839{txt}){col 67}= {res}      2.28
{txt}{col 49}Prob > F{col 67}= {res}    0.1315

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.3344039{col 26}{space 2} .2214959{col 37}{space 1}   -1.51{col 46}{space 3}0.131{col 54}{space 4}-.7691549{col 67}{space 3} .1003472
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.832951{col 26}{space 2} .1702915{col 37}{space 1}   10.76{col 46}{space 3}0.000{col 54}{space 4} 1.498704{col 67}{space 3} 2.167199
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       840
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8621129{col 26}{space 2} .0202433{col 37}{space 1}   42.59{col 46}{space 3}0.000{col 54}{space 4} .8223795{col 67}{space 3} .9018464
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .8173578{col 26}{space 2} .0211442{col 37}{space 1}   38.66{col 46}{space 3}0.000{col 54}{space 4} .7758559{col 67}{space 3} .8588596
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       840
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8621129{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .8173578{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 23
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0447552{col 26}{space 2} .0292723{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-.1022108{col 67}{space 3} .0127004
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0447552{col 26}{space 2} .0292723{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-.1203276{col 67}{space 3} .0308172
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 23
{txt}(1 real change made)

{com}. replace p_value=".127" in 23
{txt}(1 real change made)

{com}. replace Case_ID=23 in 23
{txt}(1 real change made)

{com}. replace Region="Zurich" in 23
{txt}(1 real change made)

{com}. replace Level="National" in 23
{txt}(1 real change made)

{com}. replace Year="2011" in 23
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 23
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 23
{txt}(1 real change made)

{com}. 
. ***Zurich regional***Zurich regrional***Zurich regrional 2011
. svy: logit voted  i.FSRIs if ELECID==4
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       843
{txt}{col 1}Number of PSUs{col 20}= {res}      843{txt}{col 49}Population size{col 67}={res} 841.095581
{txt}{col 49}Design df{col 67}= {res}       842
{txt}{col 49}F({res}   1{txt},{res}    842{txt}){col 67}= {res}      7.66
{txt}{col 49}Prob > F{col 67}= {res}    0.0058

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.5222995{col 26}{space 2} .1887192{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.8927148{col 67}{space 3}-.1518841
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.670744{col 26}{space 2} .1424537{col 37}{space 1}   11.73{col 46}{space 3}0.000{col 54}{space 4} 1.391138{col 67}{space 3}  1.95035
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       843
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .841675{col 26}{space 2} .0189831{col 37}{space 1}   44.34{col 46}{space 3}0.000{col 54}{space 4} .8044152{col 67}{space 3} .8789348
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7592267{col 26}{space 2} .0226275{col 37}{space 1}   33.55{col 46}{space 3}0.000{col 54}{space 4} .7148138{col 67}{space 3} .8036396
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       843
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2}  .841675{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7592267{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 24
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0824483{col 26}{space 2} .0295358{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-.1404207{col 67}{space 3}-.0244759
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0824483{col 26}{space 2} .0295358{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-.1587002{col 67}{space 3}-.0061964
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 24
{txt}(1 real change made)

{com}. replace p_value=".005" in 24
{txt}(1 real change made)

{com}. replace Case_ID=24 in 24
{txt}(1 real change made)

{com}. replace Region="Zurich" in 24
{txt}(1 real change made)

{com}. replace Level="Regional" in 24
{txt}(1 real change made)

{com}. replace Year="2011" in 24
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 24
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 24
{txt}(1 real change made)

{com}. 
. **** Average effect size
. ttest effectsize == 0

{txt}One-sample t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
effect~e {c |}{res}{col 12}     24{col 22}-7.285532{col 34}  .947507{col 46} 4.641817{col 58}  -9.2456{col 70}-5.325465
{txt}{hline 9}{c BT}{hline 68}
    mean = mean({res}effectsize{txt})                                       t = {res} -7.6892
{txt}Ho: mean = {res}0                                     {txt}degrees of freedom = {res}      23

    {txt}Ha: mean < {res}0                 {txt}Ha: mean != {res}0                 {txt}Ha: mean > {res}0
 {txt}Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. replace obs= 24 in 25
{txt}(1 real change made)

{com}. replace effectsize=-7.285532 in 25
{txt}(1 real change made)

{com}. replace p_value="<.001" in 25
{txt}(1 real change made)

{com}. replace Case_ID=25 in 25
{txt}(1 real change made)

{com}. replace Region="" in 25
{txt}(0 real changes made)

{com}. replace Level="" in 25
{txt}(0 real changes made)

{com}. replace Year="" in 25
{txt}(0 real changes made)

{com}. replace low_ci95= -9.2456 in 25
{txt}(1 real change made)

{com}. replace high_ci95= -5.325465 in 25
{txt}(1 real change made)

{com}. 
. 
. ***all experiments pooled***all experiments pooled***all experiments pooled
. svy: logit voted  i.FSRIs
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}    22,422
{txt}{col 1}Number of PSUs{col 20}= {res}   22,422{txt}{col 49}Population size{col 67}={res} 22,326.285
{txt}{col 49}Design df{col 67}= {res}    22,421
{txt}{col 49}F({res}   1{txt},{res}  22421{txt}){col 67}= {res}    109.88
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       voted{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.FSRIs {c |}{col 14}{res}{space 2}-.4731263{col 26}{space 2} .0451344{col 37}{space 1}  -10.48{col 46}{space 3}0.000{col 54}{space 4} -.561593{col 67}{space 3}-.3846597
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.791985{col 26}{space 2} .0350176{col 37}{space 1}   51.17{col 46}{space 3}0.000{col 54}{space 4} 1.723348{col 67}{space 3} 1.860621
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins FSRIs, post
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    22,422
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8571704{col 26}{space 2} .0042872{col 37}{space 1}  199.94{col 46}{space 3}0.000{col 54}{space 4} .8487672{col 67}{space 3} .8655736
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .7889917{col 26}{space 2} .0047408{col 37}{space 1}  166.43{col 46}{space 3}0.000{col 54}{space 4} .7796994{col 67}{space 3}  .798284
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, coeflegend

{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    22,422
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(voted), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}  Legend
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}FSRIs {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .8571704{col 26}{txt}  _b[0bn.FSRIs]
{space 10}1  {c |}{col 14}{res}{space 2} .7889917{col 26}{txt}  _b[1.FSRIs]
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace obs= e(N) in 26
{txt}(1 real change made)

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(95)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0681787{col 26}{space 2} .0063918{col 37}{space 1}  -10.67{col 46}{space 3}0.000{col 54}{space 4}-.0807071{col 67}{space 3}-.0556504
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. lincom _b[1.FSRIs] -  _b[0bn.FSRIs], level(99)

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- 0bn.FSRIs + 1.FSRIs = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [99% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0681787{col 26}{space 2} .0063918{col 37}{space 1}  -10.67{col 46}{space 3}0.000{col 54}{space 4}-.0846443{col 67}{space 3}-.0517131
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. replace effectsize=100*(r(estimate)) in 26
{txt}(1 real change made)

{com}. replace p_value="<.001" in 26
{txt}(1 real change made)

{com}. replace Case_ID=26 in 26
{txt}(1 real change made)

{com}. replace Region="" in 26
{txt}(0 real changes made)

{com}. replace Level="" in 26
{txt}(0 real changes made)

{com}. replace Year="Average Effect" in 26
{txt}variable {bf}Year{sf} was {bf}{res}str4{sf}{txt} now {bf}{res}str14{sf}
{txt}(1 real change made)

{com}. replace low_ci95= 100*((r(estimate))-(1.96*r(se))) in 26
{txt}(1 real change made)

{com}. replace high_ci95= 100*((r(estimate))+(1.96*r(se))) in 26
{txt}(1 real change made)

{com}. 
. svy: tab voted_simple
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     3,592
{txt}{col 1}Number of PSUs{col 20}= {res}    3,592{txt}{col 49}Population size{col 67}={res} 3,533.1399
{txt}{col 49}Design df{col 67}= {res}     3,591

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.1289
      {txt}Yes {c |}      {res}.8711
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     3,645
{txt}{col 1}Number of PSUs{col 20}= {res}    3,645{txt}{col 49}Population size{col 67}={res} 3,670.8924
{txt}{col 49}Design df{col 67}= {res}     3,644

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.0904
 {txt}I thougt {c |}      {res}.0345
 {txt}I usuall {c |}      {res}.0571
  {txt}I voted {c |}       {res}.818
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. 
. *.######..######...####...##..##..#####...######............##...
. *.##........##....##......##..##..##..##..##...............###...
. *.####......##....##.###..##..##..#####...####..............##...
. *.##........##....##..##..##..##..##..##..##................##...
. *.##......######...####....####...##..##..######..........######.
. 
. replace Case_ID=-(Case_ID)
{txt}(26 real changes made)

{com}. gen Case_ID_2=2*(Case_ID)
{txt}(24,543 missing values generated)

{com}. gsort -Case_ID_2
{txt}
{com}. 
. 
. ****Figure A
.  twoway(dot effectsize Case_ID_2,  xsize(1) ysize(6) dcolor(white) mcolor(white) horiz base(0) yscale(range(2 -54)  lc(white))  ///
> ylabel(0 "{c -(}bf:Case ID{c )-}" -2      "1" -4  "2" -6  "3" -8  "4" -10 "5" ///
> -12     "6" -14 "7" -16 "8" -18 "9" -20 "10"   ///
> -22     "11" -24        "12" -26        "13" -28        "14" -30        "15" -32        "16"   ///
> -34     "17" -36        "18" -38        "19" -40        "20"  -42       "21" -44        "22"   ///
> -46     "23" -48        "24" -50 "Average" -52 "Combined", tlstyle(none) labsize(medium) nogrid) ///
> xscale(off fill) xlabel(-20(10)0, nogrid) ytitle("") xtitle(""))  ///
>  || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(white)  ///
>  aspectratio(200)  legend(off) graphregion(margin(zero))  plotregion(margin(zero))      name(figurea,replace)
{res}{txt}
{com}. 
. ****Figure B
.  twoway(dot effectsize Case_ID_2, xsize(1) ysize(6) dcolor(white) mcolor(white) horiz base(0) yscale(range(2 -54) alt lc(white))  ///
> ylabel(0 "{c -(}bf:Year{c )-}" -2 "2015" -4       "2015" -6       "2015" -8       "2015" -10      "2014" -12      "2014" -14      "2014"  ///
> -16     "2014" -18      "2014" -20      "2014" -22      "2014" -24      "2014" -26      "2013" -28      "2012"  ///
> -30     "2012" -32      "2012" -34      "2012" -36      "2011" -38      "2011" -40      "2011" -42      "2011"  ///
> -44     "2011" -46      "2011" -48      "2011", tlstyle(none) labsize(medium) nogrid) ///
> xscale(off fill) xlabel(-20(10)0, nogrid) ytitle("") xtitle(""))  ///
>  || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(white)  ///
>  aspectratio(200)  legend(off)  graphregion(margin(zero))  plotregion(margin(zero))     name(figureb,replace)
{res}{txt}
{com}.  
. ****Figure C
.  twoway(dot effectsize Case_ID_2, xsize(1) ysize(6) dcolor(white) mcolor(white) horiz base(0) yscale(range(2 -54) alt lc(white))  ///
> ylabel(0 "{c -(}bf:Region{c )-}" -2       "Madrid" -4     "Ontario" -6    "British Columbia" -8   "Quebec" -10    "Bavaria" ///
> -12     "Provence" -14  "Îles-de-France" -16   "Catalonia" -18 "Madrid" -20    "Lower Saxony"   ///
> -22     "Marseille" -24 "Paris" -26     "Lower Saxony" -28      "Catalonia" -30 "Quebec" -32    "Provence"   ///
> -34     "Île-de-France" -36    "Ontario" -38   "Catalonia" -40 "Madrid"  -42   "Lucerne" -44   "Lucerne"   ///
> -46     "Zurich" -48    "Zurich", tlstyle(none) labsize(medium) nogrid) ///
> xscale(off fill) xlabel(-20(10)0, nogrid) ytitle("") xtitle(""))  ///
>  || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(white)  ///
>  aspectratio(200)  legend(off)  graphregion(margin(zero))  plotregion(margin(zero))     name(figurec,replace)
{res}{txt}
{com}.  
. ****Figure D
. twoway(dot effectsize Case_ID_2, xsize(1) ysize(6) dcolor(white) mcolor(white) horiz base(0) yscale(range(2 -54) alt lc(white))  ///
> ylabel(0 "{c -(}bf:Level{c )-}" -2        "Regional" -4   "National" -6   "National" -8   "National" -10  "Europe" -12    "Europe"  ///
> -14     "Europe" -16    "Europe" -18    "Europe" -20    "Europe" -22    "Municipal"  ///
> -24     "Municipal" -26 "Regional" -28  "Regional" -30  "Regional" -32  "National" -34  "National"  ///
> -36     "Regional" -38  "National" -40  "National" -42  "National" -44  "Regional"  ///
> -46     "National" -48  "Regional", tlstyle(none) labsize(medium) nogrid) ///
> xscale(off fill) xlabel(-20(10)0, nogrid) ytitle("") xtitle(""))  ///
>  || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(white)  ///
>  aspectratio(200)  legend(off)  graphregion(margin(zero))  plotregion(margin(zero))     name(figured,replace)
{res}{txt}
{com}. 
.  ****Figure E
.  twoway(dot effectsize Case_ID_2,xsize(1) ysize(6) dcolor(white) mcolor(white) horiz base(0) yscale(range(2 -54)  lc(white))  ///
> ylabel(0 "{c -(}bf:Observations{c )-}" -2 "770" -4        "1431" -6       "1330" -8       "1307" ///
> -10     "2399" -12      "806" -14       "834" -16       "811" ///
> -18     "805" -20       "791" -22       "517" -24       "856" ///
> -26     "818" -28       "800" -30       "724" -32       "719" ///
> -34     "748" -36       "884" -38       "818" -40       "823" ///
> -42     "844" -44       "904" -46       "840" -48       "843" ///
> -50     "24" -52        "22422", tlstyle(none) labsize(medium) nogrid) ///
> xscale(off fill) xlabel(-20(10)0, nogrid) ytitle("") xtitle(""))  ///
>  || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(white)  ///
>  aspectratio(200)  legend(off)  graphregion(margin(zero))  plotregion(margin(zero))     name(figuree,replace)
{res}{txt}
{com}.  
. ****Figure F
. twoway(dot effectsize Case_ID_2,xsize(1) ysize(6) dcolor(white) mcolor(white) horiz base(0) yscale(range(2 -54)  lc(white))  ///
> ylabel(0 "{c -(}bf:Effect Size{c )-}" -2  "-9.57" -4      "-7.57" -6      "-.81" -8       "-7.84" -10     "-4.46" ///
> -12     "-14.24" -14    "-17.98" -16    "-12.23" -18    "-13.68" ///
> -20     "-5.93" -22     "-5.99" -24     "-7.52" -26     "-5.68" -28     "-6.75" ///
> -30     "-10.00" -32    "-.99" -34      "-.70" -36      "-.19" -38      "-2.41" ///
> -40     "-5.99" -42     "-9.09" -44     "-12.53" -46    "-4.48" -48     "-8.24" ///
> -50     "-7.27" -52     "-6.82", tlstyle(none) labsize(medium) nogrid) ///
> xscale(off fill) xlabel(-20(10)0, nogrid) ytitle("") xtitle(""))  ///
> || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(white)  ///
> aspectratio(200)  legend(off)  graphregion(margin(zero))  plotregion(margin(zero))     name(figuref,replace)
{res}{txt}
{com}. 
. ****Figure G
. twoway(dot effectsize Case_ID_2, xsize(1) ysize(6) dcolor(white) mcolor(white) horiz base(0) yscale(range(2 -54)  lc(white))  ///
> ylabel(0 "{c -(}bf:P-Value{c )-}" -2      "<.001" -4      "<.001" -6      "0.739" -8      "<.001" -10     ".014" -12      "<.001"  ///
> -14     "<.001" -16     ".002" -18      ".001" -20      ".211" -22      ".232" -24      ".019" -26      ".152" -28      ".001"  ///
> -30     "<.001" -32     ".820" -34      ".873" -36      ".950" -38      ".284" -40      ".003" -42      ".003" -44      "<.001"  ///
> -46     ".126" -48      ".005" -50      "<.001" -52     "<.001", tlstyle(none) labsize(medium) nogrid) ///
> xscale(off fill) xlabel(-20(10)0, nogrid) ytitle("") xtitle(""))  ///
> || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(white)  ///
> aspectratio(200)  legend(off)  graphregion(margin(zero))  plotregion(margin(zero))     name(figureg,replace)
{res}{txt}
{com}.  
.  
.  replace effectsize=round(effectsize, 0.01)
{txt}(26 real changes made)

{com}. 
. ****Figure H
. twoway(dot effectsize Case_ID_2, xsize(2) mcolor(black) ysize(6) xline(0) horiz base(0) yscale(range(2 -54) alt lc(white))  ///
> ylabel(none) ///
> xscale(range(-27 6) lc(black) ex ) xlabel(-20(10)0, tlstyle(none) grid glp(solid) glc(gs15) labc(black)) ytitle("") xtitle(""))  ///
> || rcap  low_ci95 high_ci95 Case_ID_2, horizontal lw(medthick) lc(black)  ///
> aspectratio(6)  legend(off) graphregion(margin(zero))  plotregion(margin(zero))  name(figureh,replace)
{res}{txt}
{com}. 
. graph combine figurea figureb figurec figured figuree figuref figureg figureh, iscale(*.75) rows(1) name("firstset", replace)
{res}{txt}
{com}. 
. 
. 
. 
. ///    ____              ___                                                                                 ___                
> ///   6MMMMb             `MM 68b                                                                             `MM 68b            
> ///  8P    Y8             MM Y89                                                                              MM Y89            
> /// 6M      Mb ___  __    MM ___ ___  __     ____            ___   __ ____  __ ____     ____  ___  __     ____MM ___ ____   ___ 
> /// MM      MM `MM 6MMb   MM `MM `MM 6MMb   6MMMMb         6MMMMb  `M6MMMMb `M6MMMMb   6MMMMb `MM 6MMb   6MMMMMM `MM `MM(   )P' 
> /// MM      MM  MMM9 `Mb  MM  MM  MMM9 `Mb 6M'  `Mb       8M'  `Mb  MM'  `Mb MM'  `Mb 6M'  `Mb MMM9 `Mb 6M'  `MM  MM  `MM` ,P   
> /// MM      MM  MM'   MM  MM  MM  MM'   MM MM    MM           ,oMM  MM    MM MM    MM MM    MM MM'   MM MM    MM  MM   `MM,P    
> /// MM      MM  MM    MM  MM  MM  MM    MM MMMMMMMM       ,6MM9'MM  MM    MM MM    MM MMMMMMMM MM    MM MM    MM  MM    `MM.    
> /// YM      M9  MM    MM  MM  MM  MM    MM MM             MM'   MM  MM    MM MM    MM MM       MM    MM MM    MM  MM    d`MM.   
> ///  8b    d8   MM    MM  MM  MM  MM    MM YM    d9       MM.  ,MM  MM.  ,M9 MM.  ,M9 YM    d9 MM    MM YM.  ,MM  MM   d' `MM.  
> ///   YMMMM9   _MM_  _MM__MM__MM__MM_  _MM_ YMMMM9        `YMMM9'Yb.MMYMMM9  MMYMMM9   YMMMM9 _MM_  _MM_ YMMMMMM__MM__d_  _)MM_ 
> ///                                                                 MM       MM                                                 
> ///                                                                 MM       MM                                                 
> ///                                                                _MM_     _MM_                                                
> 
. 
. 
. 
. *.######...####...#####...##......######...........####....####..
. *...##....##..##..##..##..##......##..............##..##..##..##.
. *...##....######..#####...##......####............######...####..
. *...##....##..##..##..##..##......##..............##..##..##..##.
. *...##....##..##..#####...######..######..........##..##...####..
. 
. tab FSRIs if ELECID==24  // MADRID Number of respondents in each experimental groups

      {txt}FSRIs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        401       52.08       52.08
{txt}          1 {c |}{res}        369       47.92      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        770      100.00
{txt}
{com}. svy: tab voted_simple if ELECID==24  // MADRID weighted response distribution in the control group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       401
{txt}{col 1}Number of PSUs{col 20}= {res}      401{txt}{col 49}Population size{col 67}={res} 390.089723
{txt}{col 49}Design df{col 67}= {res}       400

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.0406
      {txt}Yes {c |}      {res}.9594
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2 if ELECID==24 // MADRID weighted response distribution in the treatment group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       369
{txt}{col 1}Number of PSUs{col 20}= {res}      369{txt}{col 49}Population size{col 67}={res} 383.353553
{txt}{col 49}Design df{col 67}= {res}       368

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.0662
 {txt}I thougt {c |}      {res}.0222
 {txt}I usuall {c |}      {res}.0479
  {txt}I voted {c |}      {res}.8637
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. tab FSRIs if ELECID==25  // ONTARIO Number of respondents in each experimental groups

      {txt}FSRIs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        680       47.52       47.52
{txt}          1 {c |}{res}        751       52.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,431      100.00
{txt}
{com}. svy: tab voted_simple if ELECID==25  // ONTARIO weighted response distribution in the control group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       680
{txt}{col 1}Number of PSUs{col 20}= {res}      680{txt}{col 49}Population size{col 67}={res}  664.09221
{txt}{col 49}Design df{col 67}= {res}       679

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.0687
      {txt}Yes {c |}      {res}.9313
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2 if ELECID==25 // ONTARIO weighted response distribution in the treatment group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       751
{txt}{col 1}Number of PSUs{col 20}= {res}      751{txt}{col 49}Population size{col 67}={res} 755.337519
{txt}{col 49}Design df{col 67}= {res}       750

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}       {res}.084
 {txt}I thougt {c |}       {res}.033
 {txt}I usuall {c |}      {res}.0274
  {txt}I voted {c |}      {res}.8556
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. tab FSRIs if ELECID==26  // BRITISH COLUMBIA Number of respondents in each experimental groups

      {txt}FSRIs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        660       49.62       49.62
{txt}          1 {c |}{res}        670       50.38      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,330      100.00
{txt}
{com}. svy: tab voted_simple if ELECID==26  // BRITISH COLUMBIA weighted response distribution in the control group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       660
{txt}{col 1}Number of PSUs{col 20}= {res}      660{txt}{col 49}Population size{col 67}={res} 657.742325
{txt}{col 49}Design df{col 67}= {res}       659

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.1366
      {txt}Yes {c |}      {res}.8634
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2 if ELECID==26 // BRITISH COLUMBIA weighted response distribution in the treatment group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       670
{txt}{col 1}Number of PSUs{col 20}= {res}      670{txt}{col 49}Population size{col 67}={res} 666.590806
{txt}{col 49}Design df{col 67}= {res}       669

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.0898
 {txt}I thougt {c |}       {res}.038
 {txt}I usuall {c |}      {res}.0168
  {txt}I voted {c |}      {res}.8554
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. tab FSRIs if ELECID==27  // QUEBEC Number of respondents in each experimental groups

      {txt}FSRIs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        626       47.90       47.90
{txt}          1 {c |}{res}        681       52.10      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,307      100.00
{txt}
{com}. svy: tab voted_simple if ELECID==27  // QUEBEC weighted response distribution in the control group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       626
{txt}{col 1}Number of PSUs{col 20}= {res}      626{txt}{col 49}Population size{col 67}={res} 610.244969
{txt}{col 49}Design df{col 67}= {res}       625

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.0791
      {txt}Yes {c |}      {res}.9209
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2 if ELECID==27 // QUEBEC weighted response distribution in the treatment group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}       681
{txt}{col 1}Number of PSUs{col 20}= {res}      681{txt}{col 49}Population size{col 67}={res} 680.839354
{txt}{col 49}Design df{col 67}= {res}       680

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.0928
 {txt}I thougt {c |}      {res}.0295
 {txt}I usuall {c |}      {res}.0351
  {txt}I voted {c |}      {res}.8425
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. tab FSRIs if ELECID==19  // BAVARIA Number of respondents in each experimental groups

      {txt}FSRIs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,225       51.06       51.06
{txt}          1 {c |}{res}      1,174       48.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,399      100.00
{txt}
{com}. svy: tab voted_simple if ELECID==19  // BAVARIA weighted response distribution in the control group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     1,225
{txt}{col 1}Number of PSUs{col 20}= {res}    1,225{txt}{col 49}Population size{col 67}={res} 1,210.9707
{txt}{col 49}Design df{col 67}= {res}     1,224

{txt}{hline 10}{c TT}{hline 11}
voted_sim {c |}
ple       {c |} proportion
{hline 10}{c +}{hline 11}
        0 {c |}      {res}.2112
      {txt}Yes {c |}      {res}.7888
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. svy: tab voted_complx2 if ELECID==19 // BAVARIA weighted response distribution in the treatment group
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     1,174
{txt}{col 1}Number of PSUs{col 20}= {res}    1,174{txt}{col 49}Population size{col 67}={res} 1,184.7712
{txt}{col 49}Design df{col 67}= {res}     1,173

{txt}{hline 10}{c TT}{hline 11}
voted_com {c |}
plx2      {c |} proportion
{hline 10}{c +}{hline 11}
  Did not {c |}      {res}.1013
 {txt}I thougt {c |}      {res}.0402
 {txt}I usuall {c |}      {res}.1143
  {txt}I voted {c |}      {res}.7442
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Alexander\Dropbox\How rto survey about turnout\Submission\JEPS\Replication file\FSRI experiments - Stata log file.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 3 Dec 2017, 15:13:49
{txt}{.-}
{smcl}
{txt}{sf}{ul off}